Ontology Driven Pre and Post Ranking Based Information Retrieval in Web Search Engines
With the tremendous growth of World Wide Web, it has become necessary to organize the information in such a way that it will make easier for the end users to find the information they want efficiently and accurately. This requires a pre-ranking of the underlying similar documents after the formation of the index. Thereafter the ranking of the search results in response to a query takes place which provides relevant results to user. This paper proposes an ontology driven pre ranking of the documents with identical context and hence post ranking of the search results using keyword matching of the expanded query terms and document keywords in the pre-ranked search results.